awesome-agv: Skill for Claude Code

.agents/skills/embedded-systems/SKILL.md

embedded-systems is a skill for Claude Code, Codex from irahardianto/awesome-agv. It costs 28 tokens per session (671 once invoked), scanned A, original, MIT.

A set of development guidelines for software running on small or hardware-limited devices, often called embedded systems. It covers real-time behavior, memory use, power use, interrupts, and hardware interface layers.

In plain words
What is it for?
It helps design microcontroller software, real-time tasks, interrupt handlers, memory allocation, low-power behavior, and hardware abstraction layers.
Why use it?
It helps prevent timing failures, memory problems, wasted power, and unsafe interrupt code on devices with limited resources.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

This is irahardianto/awesome-agv's own configuration. It tells Claude Code and Codex how to work on awesome-agv itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything awesome-agv configures →

Reuse

Borrowing it

Nothing to install: this file belongs to irahardianto/awesome-agv. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/irahardianto/awesome-agv/main/.agents/skills/embedded-systems/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/irahardianto/awesome-agv

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for embedded-systems

README.md
[![agentmods](https://agentmods.dev/badge/skills/irahardianto/awesome-agv/embedded-systems/github.svg)](https://agentmods.dev/skills/irahardianto/awesome-agv/embedded-systems)
Your own site
<a href="https://agentmods.dev/skills/irahardianto/awesome-agv/embedded-systems"><img src="https://agentmods.dev/badge/skills/irahardianto/awesome-agv/embedded-systems/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for embedded-systems

Your own site · 80×15
<a href="https://agentmods.dev/skills/irahardianto/awesome-agv/embedded-systems"><img src="https://agentmods.dev/badge/skills/irahardianto/awesome-agv/embedded-systems.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 28 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 671 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Agent Snooping · line 79
    Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.
    Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00028 $0.00671
Opus 5 $0.00014 $0.00336
Sonnet 5 $0.00006 $0.00134
Haiku 4.5 $0.00003 $0.00067

Measured 10d ago against content hash 9400e2224403, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

embedded-systems scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

.agents/skills/embedded-systems/SKILL.md · 82 lines

How it starts

The opening of the file, as written. The whole thing — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Embedded Systems Principles

Guidelines for resource-constrained and real-time system development.

When to Invoke

  • Developing for microcontrollers or constrained devices
  • Real-time requirements (hard or soft)
  • Hardware abstraction layer design
  • Memory-constrained environments

Resource Constraints

Memory

  1. Static allocation preferred — avoid malloc/free in real-time paths.
  2. Stack size budgets — calculate max stack depth per task.
  3. Memory pools for fixed-size allocations.
  4. No heap fragmentation — use fixed-block allocators.

Power

  1. Sleep modes — enter lowest power state when idle.
  2. Peripheral clock gating — disable unused peripherals.
  3. Batch operations — reduce wake cycles.

Real-Time Patterns

Priority-Based Scheduling

  1. Priority inversion protection — use priority inheritance mutexes.
  2. Deadline monotonic — shortest deadline = highest priority.
  3. Avoid priority ties — every task has unique priority.

Interrupt Handling

  1. ISRs must be short — set flags, defer processing to task context.
  2. No blocking calls in ISRs — no malloc, no mutex locks.
  3. Volatile for shared variables between ISR and task.

Hardware Abstraction Layer (HAL)

Application Layer
├── Middleware (protocols, file systems)
├── HAL (hardware-agnostic interfaces)
└── Board Support Package (BSP — hardware-specific)
  1. Interface per peripheral type — GPIO, UART, SPI, I2C, Timer.
  2. BSP implements HAL — swap BSP to port to new hardware.
  3. No hardware registers in application code.

RTOS Patterns

  1. Tasks for concurrent activities — each with dedicated stack.
  2. Queues for inter-task communication — type-safe message passing.
  3. Semaphores for synchronization — binary for signaling, counting for resources.
  4. Mutexes for shared data — always with timeout to prevent deadlock.

Testing

For universal testing principles, see .agents/rules/testing-strategy.md. Below: language-specific patterns only.

Read the full file on GitHub · 82 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 10d ago First seen · 82 lines · 28 tokens per session scan A 9400e2224403

Subscribe to this mod's changes

embedded-systems is a skill published in the GitHub repository irahardianto/awesome-agv (156 stars, last pushed 20d ago), licensed MIT. It adds 28 tokens to every session and 671 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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